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What (who) is regression model - definition

Piecewise regression; Piecewise model; Segmented model; Segmented regression analysis; Threshold regression; Two-phase regression; Multi-phase regression; Changing-point regression; Regression kink; Linear segmented regression

Logistic regression

STATISTICAL MODEL

Logit model; Logit regression; Binary logit model; Logistic Regression; Conditional logit analysis; Applications of logistic regression

In statistics, the logistic model (or logit model) is a statistical model that models the probability of an event taking place by having the log-odds for the event be a linear combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (the coefficients in the linear combination).

https://en.wikipedia.org/wiki/Logistic_regression

Factor regression model

Within statistical factor analysis, the factor regression model, or hybrid factor model, is a special multivariate model with the following form:

https://en.wikipedia.org/wiki/Factor_regression_model

Censored regression model

YES

Censored regression models; Corner-solution model

Censored regression models are a class of models in which the dependent variable is censored above or below a certain threshold. A commonly used likelihood-based model to accommodate to a censored sample is the Tobit model, but quantile and nonparametric estimators have also been developed.

https://en.wikipedia.org/wiki/Censored_regression_model

Wikipedia

Segmented regression

Segmented regression, also known as piecewise regression or broken-stick regression, is a method in regression analysis in which the independent variable is partitioned into intervals and a separate line segment is fit to each interval. Segmented regression analysis can also be performed on multivariate data by partitioning the various independent variables. Segmented regression is useful when the independent variables, clustered into different groups, exhibit different relationships between the variables in these regions. The boundaries between the segments are breakpoints.

Segmented linear regression is segmented regression whereby the relations in the intervals are obtained by linear regression.

https://en.wikipedia.org/wiki/Segmented regression